327 search results - page 26 / 66 » Density Estimation by Mixture Models with Smoothing Priors |
148
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KDD
2003
ACM
16 years 1 months ago
2003
ACM
The goal of clustering is to identify distinct groups in a dataset. The basic idea of model-based clustering is to approximate the data density by a mixture model, typically a mix...
108
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NIPS
2003
15 years 2 months ago
2003
We propose a functional mixture model for simultaneous clustering and alignment of sets of curves measured on a discrete time grid. The model is specifically tailored to gene exp...
125
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AAAI
2010
15 years 2 months ago
2010
Gaussian Mixture Model (GMM) is one of the most popular data clustering methods which can be viewed as a linear combination of different Gaussian components. In GMM, each cluster ...
112
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ICASSP
2010
IEEE
15 years 1 months ago
2010
IEEE
The importance estimation problem (estimating the ratio of two probability density functions) has recently gathered a great deal of attention for use in various applications, e.g....
115
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TIT
1998
15 years 1 months ago
1998
—Probability models are estimated by use of penalized log-likelihood criteria related to AIC and MDL. The accuracies of the density estimators are shown to be related to the trad...